NumericColumn (tablesaw-core 0.11.6 API)

All Superinterfaces:

Column

All Known Implementing Classes:

DoubleColumn, FloatColumn, IntColumn, LongColumn, ShortColumn
```
public interface NumericColumn
extends Column
```
Functionality common to all numeric column types

Method Summary

All Methods Instance Methods Abstract Methods Default Methods
Modifier and Type	Method and Description
`double`	`geometricMean()`
`default double`	`getDouble(int index)` Returns double value at `index` position in the column.
`default float`	`getFloat(int index)` Returns float value at `index` position in the column.
`default int`	`getInt(int index)` Returns int value at `index` position in the column.
`default long`	`getLong(int index)` Returns long value at `index` position in the column.
`double`	`kurtosis()`
`double`	`max()`
`double`	`mean()`
`double`	`median()`
`double`	`min()`
`double`	`percentile(double percentile)`
`double`	`populationVariance()`
`double`	`product()`
`double`	`quadraticMean()` Returns the quadraticMean, aka the root-mean-square, for all values in this column
`double`	`quartile1()`
`double`	`quartile3()`
`double`	`range()`
`double`	`skewness()`
`double`	`standardDeviation()`
`double`	`sumOfLogs()`
`double`	`sumOfSquares()`
`double[]`	`toDoubleArray()`
`double`	`variance()`

Methods inherited from interface tech.tablesaw.columns.Column
append, appendCell, asBytes, byteSize, clear, columnMetadata, columnWidth, comment, copy, countMissing, countUnique, difference, emptyCopy, emptyCopy, first, first, getString, id, isEmpty, isMissing, isNotMissing, last, last, metadata, name, print, rolling, rowComparator, setComment, setName, size, sortAscending, sortDescending, subset, summary, title, type, unique

- Method Detail
  - toDoubleArray
```
double[] toDoubleArray()
```
    Specified by:
    
    toDoubleArray in interface Column
  - getInt
```
default int getInt(int index)
```
    Returns int value at index position in the column. A conversion, if needed, could result in data or accuracy loss.
    
    Parameters:
    
    index - position in column
    
    Returns:
    
    int value at position
  - getLong
```
default long getLong(int index)
```
    Returns long value at index position in the column. A conversion, if needed, could result in data or accuracy loss.
    
    Parameters:
    
    index - position in column
    
    Returns:
    
    long value at position
  - getFloat
```
default float getFloat(int index)
```
    Returns float value at index position in the column. A conversion, if needed, could result in data or accuracy loss.
    
    Parameters:
    
    index - position in column
    
    Returns:
    
    float value at position
  - getDouble
```
default double getDouble(int index)
```
    Returns double value at index position in the column. A conversion, if needed, could result in data or accuracy loss.
    
    Parameters:
    
    index - position in column
    
    Returns:
    
    double value at position
  - max
```
double max()
```
  - min
```
double min()
```
  - product
```
double product()
```
  - mean
```
double mean()
```
  - median
```
double median()
```
  - quartile1
```
double quartile1()
```
  - quartile3
```
double quartile3()
```
  - percentile
```
double percentile(double percentile)
```
  - range
```
double range()
```
  - variance
```
double variance()
```
  - populationVariance
```
double populationVariance()
```
  - standardDeviation
```
double standardDeviation()
```
  - sumOfLogs
```
double sumOfLogs()
```
  - sumOfSquares
```
double sumOfSquares()
```
  - geometricMean
```
double geometricMean()
```
  - quadraticMean
```
double quadraticMean()
```
    Returns the quadraticMean, aka the root-mean-square, for all values in this column
  - kurtosis
```
double kurtosis()
```
  - skewness
```
double skewness()
```

Interface NumericColumn

Method Summary

Methods inherited from interface tech.tablesaw.columns.Column

Method Detail

toDoubleArray

getInt

getLong

getFloat

getDouble

max

min

product

mean

median

quartile1

quartile3

percentile

range

variance

populationVariance

standardDeviation

sumOfLogs

sumOfSquares

geometricMean

quadraticMean

kurtosis

skewness